
51 - 200 employees
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
🔥 Funding within the last year
💰 $32M Series A on 2025-11
Artificial Intelligence • SaaS • Enterprise
CoreStory is a SaaS platform that builds a persistent, code-grounded specification layer and intelligence model for large, complex codebases. It continuously ingests source code and related artifacts to create a durable, queryable understanding of system architecture, workflows, business rules, and intent, and serves that context to engineers, product teams, and AI agents across tools. CoreStory is used for legacy modernization, application maintenance, developer onboarding, and AI-assisted code generation, helping reduce risk, speed delivery, and preserve institutional knowledge.
🕒 April 14
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51 - 200 employees
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
🔥 Funding within the last year
💰 $32M Series A on 2025-11
Artificial Intelligence • SaaS • Enterprise
CoreStory is a SaaS platform that builds a persistent, code-grounded specification layer and intelligence model for large, complex codebases. It continuously ingests source code and related artifacts to create a durable, queryable understanding of system architecture, workflows, business rules, and intent, and serves that context to engineers, product teams, and AI agents across tools. CoreStory is used for legacy modernization, application maintenance, developer onboarding, and AI-assisted code generation, helping reduce risk, speed delivery, and preserve institutional knowledge.
• Own the full sales cycle from outbound through close, including qualification, discovery, technical validation, business case creation, negotiation, and forecasting • Drive access to Economic Buyers and mobilize Champions inside accounts • Rigorously apply a qualification methodology (e.g., MEDDPICC) to maintain a high-quality, high-predictability pipeline • Maintain forecast accuracy and pipeline hygiene with disciplined weekly cadences • Build and execute territory and account plans aligned to ICP, TAM, and priority use cases • Partner cross-functionally with Product and Engineering to influence the roadmap based on customer insights • Lead high-quality discovery that surfaces business pain, root causes, and the cost of inaction • Build compelling business cases and quantify the ROI required for enterprise decision-making • Multi-thread and engage executives early to drive alignment and urgency • Create a pipeline through creative outbound: multi-channel, AI-powered, social, communities, and direct outreach • Test and iterate messaging to identify repeatable patterns • Collaborate with GTM leadership to refine ICP and ideal use cases • Develop repeatable outbound and discovery frameworks for future hires • Document learning loops from wins, losses, and qualification patterns
• 5–7+ years of full-cycle experience selling technical SaaS, AI, API, or developer-focused platforms • Proven track record of self-sourcing pipeline and closing multi-stakeholder deals • Technical fluency and ability to demo without Sales Engineering support • Experience in founder-led, pre-Series B, high-growth environments • Demonstrated proficiency with structured qualification frameworks (e.g., MEDDIC/MEDDPICC) • Excellent communication skills with the ability to articulate value to both technical and executive audiences
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